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VAR-202206-0650

Vulnerability from variot - Updated: 2023-01-07 22:42

Huawei CV81-WDM FW is a laser multifunction printer produced by Huawei, China.

There is a security vulnerability in Huawei CV81-WDM FW 01.70.49.29.46. Attackers can exploit this vulnerability to cause service exceptions.

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CVE-2022-32204 (GCVE-0-2022-32204)

Vulnerability from cvelistv5 – Published: 2024-12-20 01:57 – Updated: 2024-12-24 00:40

Summary

There is an improper input verification vulnerability in Huawei printer product. Successful exploitation of this vulnerability may cause service abnormal. (Vulnerability ID: HWPSIRT-2022-87185) This vulnerability has been assigned a Common Vulnerabilities and Exposures (CVE) ID: CVE-2022-32204.

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-12-24 00:35 UTC

CWE

CWE-20 - Improper Input Validation

Assigner

huawei mitre root

References

1 reference

URL	Tags
https://www.huawei.com/en/psirt/security-advisori…

Impacted products

1 product

Vendor	Product	Version
Huawei	CV81-WDM FW	Affected: 01.70.49.29.46

Show details on NVD website

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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VAR-202206-0650

CVE-2022-32204 (GCVE-0-2022-32204)

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Nomenclature

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